Profiling roster

Dataset statistics

Number of variables	36
Number of observations	136145
Missing cells	2202017
Missing cells (%)	44.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	37.4 MiB
Average record size in memory	288.0 B

Variable types

Numeric	16
Text	12
Categorical	7
DateTime	1

Alerts

`depth_chart_position` is highly overall correlated with `ngs_position` and 1 other fields	High correlation
`entry_year` is highly overall correlated with `espn_id` and 8 other fields	High correlation
`espn_id` is highly overall correlated with `entry_year` and 8 other fields	High correlation
`fantasy_data_id` is highly overall correlated with `entry_year` and 8 other fields	High correlation
`game_type` is highly overall correlated with `week`	High correlation
`gsis_it_id` is highly overall correlated with `entry_year` and 9 other fields	High correlation
`height` is highly overall correlated with `weight`	High correlation
`jersey_number` is highly overall correlated with `ngs_position` and 2 other fields	High correlation
`ngs_position` is highly overall correlated with `depth_chart_position` and 4 other fields	High correlation
`pff_id` is highly overall correlated with `entry_year` and 8 other fields	High correlation
`position` is highly overall correlated with `depth_chart_position` and 2 other fields	High correlation
`rookie_year` is highly overall correlated with `entry_year` and 8 other fields	High correlation
`rotowire_id` is highly overall correlated with `entry_year` and 8 other fields	High correlation
`season` is highly overall correlated with `entry_year` and 10 other fields	High correlation
`sleeper_id` is highly overall correlated with `entry_year` and 8 other fields	High correlation
`status` is highly overall correlated with `ngs_position` and 1 other fields	High correlation
`status_description_abbr` is highly overall correlated with `status`	High correlation
`week` is highly overall correlated with `game_type`	High correlation
`weight` is highly overall correlated with `height`	High correlation
`yahoo_id` is highly overall correlated with `entry_year` and 8 other fields	High correlation
`years_exp` is highly overall correlated with `gsis_it_id`	High correlation
`status` is highly imbalanced (76.1%)	Imbalance
`status_description_abbr` is highly imbalanced (76.9%)	Imbalance
`position` has 1510 (1.1%) missing values	Missing
`depth_chart_position` has 30854 (22.7%) missing values	Missing
`birth_date` has 2861 (2.1%) missing values	Missing
`college` has 100526 (73.8%) missing values	Missing
`gsis_id` has 53093 (39.0%) missing values	Missing
`espn_id` has 113048 (83.0%) missing values	Missing
`sportradar_id` has 112023 (82.3%) missing values	Missing
`yahoo_id` has 113891 (83.7%) missing values	Missing
`rotowire_id` has 111909 (82.2%) missing values	Missing
`pff_id` has 113745 (83.5%) missing values	Missing
`pfr_id` has 118709 (87.2%) missing values	Missing
`fantasy_data_id` has 115259 (84.7%) missing values	Missing
`sleeper_id` has 112839 (82.9%) missing values	Missing
`years_exp` has 79743 (58.6%) missing values	Missing
`headshot_url` has 2124 (1.6%) missing values	Missing
`esb_id` has 53258 (39.1%) missing values	Missing
`gsis_it_id` has 100174 (73.6%) missing values	Missing
`smart_id` has 53283 (39.1%) missing values	Missing
`entry_year` has 79743 (58.6%) missing values	Missing
`rookie_year` has 79755 (58.6%) missing values	Missing
`draft_club` has 100288 (73.7%) missing values	Missing
`ngs_position` has 126663 (93.0%) missing values	Missing
`week` has 79239 (58.2%) missing values	Missing
`game_type` has 79239 (58.2%) missing values	Missing
`status_description_abbr` has 85392 (62.7%) missing values	Missing
`football_name` has 79259 (58.2%) missing values	Missing
`draft_number` has 102533 (75.3%) missing values	Missing
`yahoo_id` is highly skewed (γ1 = 28.15370803)	Skewed
`jersey_number` has 65918 (48.4%) zeros	Zeros
`years_exp` has 10884 (8.0%) zeros	Zeros

Reproduction

Analysis started	2024-08-09 02:32:17.938423
Analysis finished	2024-08-09 02:32:50.095695
Duration	32.16 seconds
Software version	ydata-profiling vv4.9.0
Download configuration	config.json

season
Real number (ℝ)

HIGH CORRELATION

Distinct	105
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1991.1024

Minimum	1920
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1920
5-th percentile	1939
Q1	1975
median	1996
Q3	2013
95-th percentile	2022
Maximum	2024
Range	104
Interquartile range (IQR)	38

Descriptive statistics

Standard deviation	25.49723
Coefficient of variation (CV)	0.012805585
Kurtosis	-0.020367663
Mean	1991.1024
Median Absolute Deviation (MAD)	18
Skewness	-0.80861948
Sum	2.7107864 × 10⁸
Variance	650.10876
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2018	3142	2.3%
2022	3134	2.3%
2019	3114	2.3%
2023	3090	2.3%
2017	3082	2.3%
2020	3068	2.3%
2016	3061	2.2%
2021	2961	2.2%
2024	2909	2.1%
1987	2817	2.1%
Other values (95)	105767	77.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1920	369	0.3%
1921	467	0.3%
1922	412	0.3%
1923	427	0.3%
1924	413	0.3%
1925	495	0.4%
1926	551	0.4%
1927	318	0.2%
1928	231	0.2%
1929	293	0.2%

Value	Count	Frequency (%)
2024	2909	2.1%
2023	3090	2.3%
2022	3134	2.3%
2021	2961	2.2%
2020	3068	2.3%
2019	3114	2.3%
2018	3142	2.3%
2017	3082	2.3%
2016	3061	2.2%
2015	2190	1.6%

team
Text

Distinct	86
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

Length

Max length	3
Median length	3
Mean length	2.7576775
Min length	2

Characters and Unicode

Total characters	375444
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AKR
2nd row	AKR
3rd row	AKR
4th row	AKR
5th row	AKR

Value	Count	Frequency (%)
gb	5378	4.0%
det	5185	3.8%
was	5054	3.7%
phi	4966	3.6%
pit	4853	3.6%
sf	4567	3.4%
buf	4430	3.3%
nyg	4388	3.2%
min	4050	3.0%
kc	4046	3.0%
Other values (76)	89228	65.5%

Most occurring characters

Value	Count	Frequency (%)
A	38141	10.2%
N	34416	9.2%
I	31134	8.3%
C	24403	6.5%
T	23594	6.3%
L	23113	6.2%
E	22534	6.0%
S	21142	5.6%
D	20004	5.3%
B	19620	5.2%
Other values (16)	117343	31.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	375444	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	38141	10.2%
N	34416	9.2%
I	31134	8.3%
C	24403	6.5%
T	23594	6.3%
L	23113	6.2%
E	22534	6.0%
S	21142	5.6%
D	20004	5.3%
B	19620	5.2%
Other values (16)	117343	31.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	375444	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	38141	10.2%
N	34416	9.2%
I	31134	8.3%
C	24403	6.5%
T	23594	6.3%
L	23113	6.2%
E	22534	6.0%
S	21142	5.6%
D	20004	5.3%
B	19620	5.2%
Other values (16)	117343	31.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	375444	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	38141	10.2%
N	34416	9.2%
I	31134	8.3%
C	24403	6.5%
T	23594	6.3%
L	23113	6.2%
E	22534	6.0%
S	21142	5.6%
D	20004	5.3%
B	19620	5.2%
Other values (16)	117343	31.3%

position
Categorical

HIGH CORRELATION MISSING

Distinct	28
Distinct (%)	< 0.1%
Missing	1510
Missing (%)	1.1%
Memory size	1.0 MiB

OL	18563
DL	16889
DB	16744
RB	16294
WR	14504
Other values (23)	51641

Length

Max length	4
Median length	2
Mean length	1.9924537
Min length	1

Characters and Unicode

Total characters	268254
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DL
2nd row	DL
3rd row	DL
4th row	DL
5th row	DL

Common Values

Value	Count	Frequency (%)
OL	18563	13.6%
DL	16889	12.4%
DB	16744	12.3%
RB	16294	12.0%
WR	14504	10.7%
LB	13226	9.7%
QB	7361	5.4%
TE	7096	5.2%
CB	2752	2.0%
DE	2277	1.7%
Other values (18)	18929	13.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ol	18563	13.8%
dl	16889	12.5%
db	16744	12.4%
rb	16294	12.1%
wr	14504	10.8%
lb	13226	9.8%
qb	7361	5.5%
te	7096	5.3%
cb	2752	2.0%
de	2277	1.7%
Other values (18)	18929	14.1%

Most occurring characters

Value	Count	Frequency (%)
B	60767	22.7%
L	53123	19.8%
D	37504	14.0%
R	30810	11.5%
O	20744	7.7%
W	14504	5.4%
T	11222	4.2%
E	10936	4.1%
Q	7361	2.7%
S	5780	2.2%
Other values (8)	15503	5.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	268254	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
B	60767	22.7%
L	53123	19.8%
D	37504	14.0%
R	30810	11.5%
O	20744	7.7%
W	14504	5.4%
T	11222	4.2%
E	10936	4.1%
Q	7361	2.7%
S	5780	2.2%
Other values (8)	15503	5.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	268254	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
B	60767	22.7%
L	53123	19.8%
D	37504	14.0%
R	30810	11.5%
O	20744	7.7%
W	14504	5.4%
T	11222	4.2%
E	10936	4.1%
Q	7361	2.7%
S	5780	2.2%
Other values (8)	15503	5.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	268254	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
B	60767	22.7%
L	53123	19.8%
D	37504	14.0%
R	30810	11.5%
O	20744	7.7%
W	14504	5.4%
T	11222	4.2%
E	10936	4.1%
Q	7361	2.7%
S	5780	2.2%
Other values (8)	15503	5.8%

depth_chart_position
Categorical

HIGH CORRELATION MISSING

Distinct	36
Distinct (%)	< 0.1%
Missing	30854
Missing (%)	22.7%
Memory size	1.0 MiB

WR	11329
RB	8279
DE	7241
DB	6843
G	6593
Other values (31)	65006

Length

Max length	3
Median length	2
Mean length	1.8953282
Min length	1

Characters and Unicode

Total characters	199561
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	E
2nd row	E
3rd row	E
4th row	DG
5th row	DG

Common Values

Value	Count	Frequency (%)
WR	11329	8.3%
RB	8279	6.1%
DE	7241	5.3%
DB	6843	5.0%
G	6593	4.8%
LB	6224	4.6%
QB	5904	4.3%
DT	5651	4.2%
OT	5567	4.1%
CB	5360	3.9%
Other values (26)	36300	26.7%
(Missing)	30854	22.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
wr	11329	10.8%
rb	8279	7.9%
de	7241	6.9%
db	6843	6.5%
g	6593	6.3%
lb	6224	5.9%
qb	5904	5.6%
dt	5651	5.4%
ot	5567	5.3%
cb	5360	5.1%
Other values (26)	36300	34.5%

Most occurring characters

Value	Count	Frequency (%)
B	45325	22.7%
D	21382	10.7%
R	19609	9.8%
T	19476	9.8%
E	13811	6.9%
L	13292	6.7%
W	11476	5.8%
O	9719	4.9%
C	9688	4.9%
G	8546	4.3%
Other values (10)	27237	13.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	199561	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
B	45325	22.7%
D	21382	10.7%
R	19609	9.8%
T	19476	9.8%
E	13811	6.9%
L	13292	6.7%
W	11476	5.8%
O	9719	4.9%
C	9688	4.9%
G	8546	4.3%
Other values (10)	27237	13.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	199561	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
B	45325	22.7%
D	21382	10.7%
R	19609	9.8%
T	19476	9.8%
E	13811	6.9%
L	13292	6.7%
W	11476	5.8%
O	9719	4.9%
C	9688	4.9%
G	8546	4.3%
Other values (10)	27237	13.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	199561	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
B	45325	22.7%
D	21382	10.7%
R	19609	9.8%
T	19476	9.8%
E	13811	6.9%
L	13292	6.7%
W	11476	5.8%
O	9719	4.9%
C	9688	4.9%
G	8546	4.3%
Other values (10)	27237	13.6%

jersey_number
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	100
Distinct (%)	0.1%
Missing	444
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	27.105217

Minimum	0
Maximum	99
Zeros	65918
Zeros (%)	48.4%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	55
95-th percentile	91
Maximum	99
Range	99
Interquartile range (IQR)	55

Descriptive statistics

Standard deviation	33.296363
Coefficient of variation (CV)	1.2284116
Kurtosis	-0.85446153
Mean	27.105217
Median Absolute Deviation (MAD)	4
Skewness	0.81616019
Sum	3678205
Variance	1108.6478
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	65918	48.4%
23	893	0.7%
94	888	0.7%
21	887	0.7%
55	884	0.6%
26	876	0.6%
93	869	0.6%
91	867	0.6%
97	866	0.6%
25	865	0.6%
Other values (90)	61888	45.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	65918	48.4%
1	320	0.2%
2	498	0.4%
3	524	0.4%
4	591	0.4%
5	520	0.4%
6	486	0.4%
7	533	0.4%
8	523	0.4%
9	547	0.4%

Value	Count	Frequency (%)
99	789	0.6%
98	859	0.6%
97	866	0.6%
96	850	0.6%
95	856	0.6%
94	888	0.7%
93	869	0.6%
92	800	0.6%
91	867	0.6%
90	832	0.6%

status
Categorical

HIGH CORRELATION IMBALANCE

Distinct	20
Distinct (%)	< 0.1%
Missing	27
Missing (%)	< 0.1%
Memory size	1.0 MiB

ACT	114097
RES	8797
CUT	5736
DEV	3359
INA	1067
Other values (15)	3062

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	408354
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	ACT
2nd row	ACT
3rd row	ACT
4th row	ACT
5th row	ACT

Common Values

Value	Count	Frequency (%)
ACT	114097	83.8%
RES	8797	6.5%
CUT	5736	4.2%
DEV	3359	2.5%
INA	1067	0.8%
TRC	993	0.7%
TRT	834	0.6%
TRD	509	0.4%
RET	137	0.1%
UFA	124	0.1%
Other values (10)	465	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
act	114097	83.8%
res	8797	6.5%
cut	5736	4.2%
dev	3359	2.5%
ina	1067	0.8%
trc	993	0.7%
trt	834	0.6%
trd	509	0.4%
ret	137	0.1%
ufa	124	0.1%
Other values (10)	465	0.3%

Most occurring characters

Value	Count	Frequency (%)
T	123259	30.2%
C	120826	29.6%
A	115291	28.2%
E	12348	3.0%
R	11412	2.8%
S	9080	2.2%
U	6057	1.5%
D	3868	0.9%
V	3359	0.8%
N	1253	0.3%
Other values (9)	1601	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	408354	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
T	123259	30.2%
C	120826	29.6%
A	115291	28.2%
E	12348	3.0%
R	11412	2.8%
S	9080	2.2%
U	6057	1.5%
D	3868	0.9%
V	3359	0.8%
N	1253	0.3%
Other values (9)	1601	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	408354	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
T	123259	30.2%
C	120826	29.6%
A	115291	28.2%
E	12348	3.0%
R	11412	2.8%
S	9080	2.2%
U	6057	1.5%
D	3868	0.9%
V	3359	0.8%
N	1253	0.3%
Other values (9)	1601	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	408354	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
T	123259	30.2%
C	120826	29.6%
A	115291	28.2%
E	12348	3.0%
R	11412	2.8%
S	9080	2.2%
U	6057	1.5%
D	3868	0.9%
V	3359	0.8%
N	1253	0.3%
Other values (9)	1601	0.4%

full_name
Text

Distinct	30621
Distinct (%)	22.5%
Missing	1
Missing (%)	< 0.1%
Memory size	1.0 MiB

Length

Max length	29
Median length	26
Mean length	12.333669
Min length	6

Characters and Unicode

Total characters	1679155
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8742 ?
Unique (%)	6.4%

Sample

1st row	Scotty Bierce
2nd row	Budge Garrett
3rd row	George Johnson
4th row	Al Nesser
5th row	Tommy Tomlin

Value	Count	Frequency (%)
mike	2907	1.1%
john	2771	1.0%
jim	2088	0.8%
johnson	1854	0.7%
bob	1848	0.7%
williams	1847	0.7%
smith	1832	0.7%
joe	1784	0.7%
chris	1694	0.6%
jones	1528	0.6%
Other values (16742)	253265	92.6%

Most occurring characters

Value	Count	Frequency (%)
e	153151	9.1%
	137274	8.2%
a	124722	7.4%
n	121092	7.2%
r	117091	7.0%
o	105484	6.3%
i	95557	5.7%
l	84474	5.0%
s	66128	3.9%
t	57022	3.4%
Other values (49)	617160	36.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1679155	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	153151	9.1%
	137274	8.2%
a	124722	7.4%
n	121092	7.2%
r	117091	7.0%
o	105484	6.3%
i	95557	5.7%
l	84474	5.0%
s	66128	3.9%
t	57022	3.4%
Other values (49)	617160	36.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1679155	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	153151	9.1%
	137274	8.2%
a	124722	7.4%
n	121092	7.2%
r	117091	7.0%
o	105484	6.3%
i	95557	5.7%
l	84474	5.0%
s	66128	3.9%
t	57022	3.4%
Other values (49)	617160	36.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1679155	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	153151	9.1%
	137274	8.2%
a	124722	7.4%
n	121092	7.2%
r	117091	7.0%
o	105484	6.3%
i	95557	5.7%
l	84474	5.0%
s	66128	3.9%
t	57022	3.4%
Other values (49)	617160	36.8%

first_name
Text

Distinct	5104
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

Length

Max length	22
Median length	21
Mean length	5.8268464
Min length	1

Characters and Unicode

Total characters	793296
Distinct characters	58
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1031 ?
Unique (%)	0.8%

Sample

1st row	Bruce
2nd row	Alfred
3rd row	George
4th row	Alfred
5th row	John

Value	Count	Frequency (%)
john	4026	3.0%
james	3883	2.8%
robert	3322	2.4%
michael	3206	2.4%
william	3017	2.2%
david	2038	1.5%
charles	1933	1.4%
thomas	1708	1.3%
richard	1649	1.2%
joseph	1580	1.2%
Other values (5025)	109980	80.7%

Most occurring characters

Value	Count	Frequency (%)
e	82620	10.4%
a	76033	9.6%
r	65532	8.3%
n	60473	7.6%
i	49115	6.2%
o	48384	6.1%
l	43976	5.5%
h	32325	4.1%
t	28035	3.5%
s	26593	3.4%
Other values (48)	280210	35.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	793296	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	82620	10.4%
a	76033	9.6%
r	65532	8.3%
n	60473	7.6%
i	49115	6.2%
o	48384	6.1%
l	43976	5.5%
h	32325	4.1%
t	28035	3.5%
s	26593	3.4%
Other values (48)	280210	35.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	793296	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	82620	10.4%
a	76033	9.6%
r	65532	8.3%
n	60473	7.6%
i	49115	6.2%
o	48384	6.1%
l	43976	5.5%
h	32325	4.1%
t	28035	3.5%
s	26593	3.4%
Other values (48)	280210	35.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	793296	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	82620	10.4%
a	76033	9.6%
r	65532	8.3%
n	60473	7.6%
i	49115	6.2%
o	48384	6.1%
l	43976	5.5%
h	32325	4.1%
t	28035	3.5%
s	26593	3.4%
Other values (48)	280210	35.3%

last_name
Text

Distinct	12684
Distinct (%)	9.3%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

Length

Max length	19
Median length	16
Mean length	6.411003
Min length	3

Characters and Unicode

Total characters	872826
Distinct characters	56
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3011 ?
Unique (%)	2.2%

Sample

1st row	Bierce
2nd row	Garrett
3rd row	Johnson
4th row	Nesser
5th row	Tomlin

Value	Count	Frequency (%)
williams	1847	1.4%
johnson	1845	1.4%
smith	1830	1.3%
jones	1528	1.1%
brown	1400	1.0%
davis	1017	0.7%
jackson	881	0.6%
thomas	877	0.6%
harris	724	0.5%
wilson	682	0.5%
Other values (12663)	123973	90.8%

Most occurring characters

Value	Count	Frequency (%)
e	84241	9.7%
n	69418	8.0%
a	67763	7.8%
r	66314	7.6%
o	64135	7.3%
l	53377	6.1%
i	51995	6.0%
s	49782	5.7%
t	36148	4.1%
h	24076	2.8%
Other values (46)	305577	35.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	872826	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	84241	9.7%
n	69418	8.0%
a	67763	7.8%
r	66314	7.6%
o	64135	7.3%
l	53377	6.1%
i	51995	6.0%
s	49782	5.7%
t	36148	4.1%
h	24076	2.8%
Other values (46)	305577	35.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	872826	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	84241	9.7%
n	69418	8.0%
a	67763	7.8%
r	66314	7.6%
o	64135	7.3%
l	53377	6.1%
i	51995	6.0%
s	49782	5.7%
t	36148	4.1%
h	24076	2.8%
Other values (46)	305577	35.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	872826	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	84241	9.7%
n	69418	8.0%
a	67763	7.8%
r	66314	7.6%
o	64135	7.3%
l	53377	6.1%
i	51995	6.0%
s	49782	5.7%
t	36148	4.1%
h	24076	2.8%
Other values (46)	305577	35.0%

birth_date
Date

MISSING

Distinct	19609
Distinct (%)	14.7%
Missing	2861
Missing (%)	2.1%
Memory size	1.0 MiB

Minimum	1875-04-25 00:00:00
Maximum	2004-01-20 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

height
Real number (ℝ)

HIGH CORRELATION

Distinct	23
Distinct (%)	< 0.1%
Missing	440
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	73.758358

Minimum	61
Maximum	84
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	61
5-th percentile	70
Q1	72
median	74
Q3	76
95-th percentile	78
Maximum	84
Range	23
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.5331122
Coefficient of variation (CV)	0.034343392
Kurtosis	-0.2949307
Mean	73.758358
Median Absolute Deviation (MAD)	2
Skewness	-0.13493979
Sum	10009378
Variance	6.4166574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
74	20380	15.0%
75	19588	14.4%
73	17861	13.1%
72	16008	11.8%
76	15804	11.6%
71	11752	8.6%
77	11203	8.2%
70	8520	6.3%
78	5317	3.9%
69	3871	2.8%
Other values (13)	5401	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
61	1	< 0.1%
63	2	< 0.1%
64	17	< 0.1%
65	46	< 0.1%
66	186	0.1%
67	498	0.4%
68	1727	1.3%
69	3871	2.8%
70	8520	6.3%
71	11752	8.6%

Value	Count	Frequency (%)
84	1	< 0.1%
83	1	< 0.1%
82	11	< 0.1%
81	150	0.1%
80	696	0.5%
79	2065	1.5%
78	5317	3.9%
77	11203	8.2%
76	15804	11.6%
75	19588	14.4%

weight
Real number (ℝ)

HIGH CORRELATION

Distinct	244
Distinct (%)	0.2%
Missing	145
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	232.14927

Minimum	0
Maximum	1794
Zeros	16
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	180
Q1	200
median	225
Q3	255
95-th percentile	314
Maximum	1794
Range	1794
Interquartile range (IQR)	55

Descriptive statistics

Standard deviation	42.131178
Coefficient of variation (CV)	0.18148314
Kurtosis	14.002883
Mean	232.14927
Median Absolute Deviation (MAD)	29
Skewness	0.92506254
Sum	31572301
Variance	1775.0362
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
190	4755	3.5%
195	4218	3.1%
200	4183	3.1%
250	3772	2.8%
210	3627	2.7%
205	3492	2.6%
220	3297	2.4%
185	3293	2.4%
215	3262	2.4%
230	3220	2.4%
Other values (234)	98881	72.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	< 0.1%
1	70	0.1%
18	1	< 0.1%
119	1	< 0.1%
135	2	< 0.1%
140	10	< 0.1%
142	4	< 0.1%
143	3	< 0.1%
144	2	< 0.1%
145	14	< 0.1%

Value	Count	Frequency (%)
1794	1	< 0.1%
410	2	< 0.1%
394	1	< 0.1%
390	1	< 0.1%
388	2	< 0.1%
384	1	< 0.1%
382	1	< 0.1%
380	13	< 0.1%
379	3	< 0.1%
378	2	< 0.1%

college
Text

MISSING

Distinct	499
Distinct (%)	1.4%
Missing	100526
Missing (%)	73.8%
Memory size	1.0 MiB

Length

Max length	28
Median length	24
Mean length	10.475055
Min length	3

Characters and Unicode

Total characters	373111
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	0.1%

Sample

1st row	South Dakota State
2nd row	South Dakota State
3rd row	Tennessee
4th row	South Dakota State
5th row	Michigan

Value	Count	Frequency (%)
state	7476	13.9%
florida	1818	3.4%
texas	1635	3.0%
carolina	1377	2.6%
michigan	1260	2.3%
georgia	1018	1.9%
north	993	1.9%
tech	974	1.8%
southern	971	1.8%
virginia	952	1.8%
Other values (420)	35175	65.6%

Most occurring characters

Value	Count	Frequency (%)
a	43587	11.7%
i	30069	8.1%
e	29222	7.8%
t	29065	7.8%
o	25349	6.8%
n	24837	6.7%
r	19655	5.3%
s	19451	5.2%
	18030	4.8%
l	14252	3.8%
Other values (49)	119594	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	373111	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	43587	11.7%
i	30069	8.1%
e	29222	7.8%
t	29065	7.8%
o	25349	6.8%
n	24837	6.7%
r	19655	5.3%
s	19451	5.2%
	18030	4.8%
l	14252	3.8%
Other values (49)	119594	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	373111	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	43587	11.7%
i	30069	8.1%
e	29222	7.8%
t	29065	7.8%
o	25349	6.8%
n	24837	6.7%
r	19655	5.3%
s	19451	5.2%
	18030	4.8%
l	14252	3.8%
Other values (49)	119594	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	373111	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	43587	11.7%
i	30069	8.1%
e	29222	7.8%
t	29065	7.8%
o	25349	6.8%
n	24837	6.7%
r	19655	5.3%
s	19451	5.2%
	18030	4.8%
l	14252	3.8%
Other values (49)	119594	32.1%

gsis_id
Text

MISSING

Distinct	17564
Distinct (%)	21.1%
Missing	53093
Missing (%)	39.0%
Memory size	1.0 MiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	830520
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4113 ?
Unique (%)	5.0%

Sample

1st row	00-0009716
2nd row	00-0009716
3rd row	00-0009716
4th row	00-0015035
5th row	00-0003094

Value	Count	Frequency (%)
00-0016098	26	< 0.1%
00-0002655	25	< 0.1%
00-0000282	25	< 0.1%
00-0016919	25	< 0.1%
00-0019641	24	< 0.1%
00-0000313	23	< 0.1%
00-0009584	23	< 0.1%
00-0019596	23	< 0.1%
00-0008961	22	< 0.1%
00-0005113	22	< 0.1%
Other values (17554)	82814	99.7%

Most occurring characters

Value	Count	Frequency (%)
0	381551	45.9%
-	83052	10.0%
2	60651	7.3%
3	59347	7.1%
1	50590	6.1%
4	34381	4.1%
6	34078	4.1%
5	33468	4.0%
7	32478	3.9%
9	31717	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	830520	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	381551	45.9%
-	83052	10.0%
2	60651	7.3%
3	59347	7.1%
1	50590	6.1%
4	34381	4.1%
6	34078	4.1%
5	33468	4.0%
7	32478	3.9%
9	31717	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	830520	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	381551	45.9%
-	83052	10.0%
2	60651	7.3%
3	59347	7.1%
1	50590	6.1%
4	34381	4.1%
6	34078	4.1%
5	33468	4.0%
7	32478	3.9%
9	31717	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	830520	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	381551	45.9%
-	83052	10.0%
2	60651	7.3%
3	59347	7.1%
1	50590	6.1%
4	34381	4.1%
6	34078	4.1%
5	33468	4.0%
7	32478	3.9%
9	31717	3.8%

espn_id
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3807
Distinct (%)	16.5%
Missing	113048
Missing (%)	83.0%
Infinite	0
Infinite (%)	0.0%
Mean	1858667.5

Minimum	1097
Maximum	4917635
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1097
5-th percentile	8416
Q1	14297
median	2576480
Q3	3124086
95-th percentile	4242335
Maximum	4917635
Range	4916538
Interquartile range (IQR)	3109789

Descriptive statistics

Standard deviation	1732333.7
Coefficient of variation (CV)	0.93202992
Kurtosis	-1.7543551
Mean	1858667.5
Median Absolute Deviation (MAD)	1666036
Skewness	0.0027841108
Sum	4.2929643 × 10¹⁰
Variance	3.00098 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1097	25	< 0.1%
2330	23	< 0.1%
2580	21	< 0.1%
8439	20	< 0.1%
1440	20	< 0.1%
5713	19	< 0.1%
4333	19	< 0.1%
6012	19	< 0.1%
2273	19	< 0.1%
11122	19	< 0.1%
Other values (3797)	22893	16.8%
(Missing)	113048	83.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1097	25	< 0.1%
1231	17	< 0.1%
1428	18	< 0.1%
1430	13	< 0.1%
1433	16	< 0.1%
1440	20	< 0.1%
1490	13	< 0.1%
1575	17	< 0.1%
1756	11	< 0.1%
1858	15	< 0.1%

Value	Count	Frequency (%)
4917635	2	< 0.1%
4820592	1	< 0.1%
4820589	2	< 0.1%
4697815	3	< 0.1%
4697639	2	< 0.1%
4692025	1	< 0.1%
4689546	3	< 0.1%
4686470	1	< 0.1%
4686421	4	< 0.1%
4685721	1	< 0.1%

sportradar_id
Text

MISSING

Distinct	4277
Distinct (%)	17.7%
Missing	112023
Missing (%)	82.3%
Memory size	1.0 MiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	868392
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	135 ?
Unique (%)	0.6%

Sample

1st row	9ecf8040-10f9-4a5c-92da-1b4d77bd6760
2nd row	382154cf-7cc6-494c-8426-9f78aa4c4b90
3rd row	9ecf8040-10f9-4a5c-92da-1b4d77bd6760
4th row	a725e7c5-86df-4b5b-abe0-71b809be988d
5th row	382154cf-7cc6-494c-8426-9f78aa4c4b90

Value	Count	Frequency (%)
9ecf8040-10f9-4a5c-92da-1b4d77bd6760	25	0.1%
41c44740-d0f6-44ab-8347-3b5d515e5ecf	23	0.1%
bb5957e6-ce7d-47ab-8036-22191ffc1c44	21	0.1%
0ce48193-e2fa-466e-a986-33f751add206	20	0.1%
e5247e5f-c4af-4a9b-8c7c-da75ef7fbf8d	20	0.1%
c4b15bec-4adf-444a-bda1-5a07ade70abf	19	0.1%
edaad8e3-62cd-4715-b225-0010ee9825a0	19	0.1%
218d1644-603e-4da3-9ce1-48ce3927494f	19	0.1%
480277d1-47c9-44df-969e-038a84cd0fea	19	0.1%
46aab8e6-3ca9-4213-a6cb-87db90786f6b	19	0.1%
Other values (4267)	23918	99.2%

Most occurring characters

Value	Count	Frequency (%)
-	96488	11.1%
4	69201	8.0%
b	51215	5.9%
9	50744	5.8%
a	50266	5.8%
8	50063	5.8%
c	46598	5.4%
f	46564	5.4%
1	45808	5.3%
3	45595	5.3%
Other values (7)	315850	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	868392	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	96488	11.1%
4	69201	8.0%
b	51215	5.9%
9	50744	5.8%
a	50266	5.8%
8	50063	5.8%
c	46598	5.4%
f	46564	5.4%
1	45808	5.3%
3	45595	5.3%
Other values (7)	315850	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	868392	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	96488	11.1%
4	69201	8.0%
b	51215	5.9%
9	50744	5.8%
a	50266	5.8%
8	50063	5.8%
c	46598	5.4%
f	46564	5.4%
1	45808	5.3%
3	45595	5.3%
Other values (7)	315850	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	868392	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	96488	11.1%
4	69201	8.0%
b	51215	5.9%
9	50744	5.8%
a	50266	5.8%
8	50063	5.8%
c	46598	5.4%
f	46564	5.4%
1	45808	5.3%
3	45595	5.3%
Other values (7)	315850	36.4%

yahoo_id
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	3960
Distinct (%)	17.8%
Missing	113891
Missing (%)	83.7%
Infinite	0
Infinite (%)	0.0%
Mean	27720.702

Minimum	3727
Maximum	900125
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	3727
5-th percentile	7799.95
Q1	25871
median	29253
Q3	31503
95-th percentile	33697.4
Maximum	900125
Range	896398
Interquartile range (IQR)	5632

Descriptive statistics

Standard deviation	28553.077
Coefficient of variation (CV)	1.0300272
Kurtosis	858.54644
Mean	27720.702
Median Absolute Deviation (MAD)	2618
Skewness	28.153708
Sum	6.168965 × 10⁸
Variance	8.1527823 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3727	25	< 0.1%
5228	23	< 0.1%
5479	21	< 0.1%
4269	20	< 0.1%
7200	20	< 0.1%
6947	19	< 0.1%
7122	19	< 0.1%
6243	19	< 0.1%
8565	19	< 0.1%
5171	19	< 0.1%
Other values (3950)	22050	16.2%
(Missing)	113891	83.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3727	25	< 0.1%
4256	18	< 0.1%
4269	20	< 0.1%
4416	17	< 0.1%
5046	19	< 0.1%
5171	19	< 0.1%
5228	23	< 0.1%
5448	14	< 0.1%
5477	14	< 0.1%
5479	21	< 0.1%

Value	Count	Frequency (%)
900125	4	< 0.1%
900039	6	< 0.1%
900035	8	< 0.1%
900026	4	< 0.1%
40819	2	< 0.1%
40780	2	< 0.1%
40779	2	< 0.1%
40756	1	< 0.1%
40748	2	< 0.1%
40742	2	< 0.1%

rotowire_id
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	4295
Distinct (%)	17.7%
Missing	111909
Missing (%)	82.2%
Infinite	0
Infinite (%)	0.0%
Mean	10436.626

Minimum	395
Maximum	36732
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	395
5-th percentile	4345
Q1	8029
median	10717.5
Q3	13280.5
95-th percentile	15877
Maximum	36732
Range	36337
Interquartile range (IQR)	5251.5

Descriptive statistics

Standard deviation	3630.6572
Coefficient of variation (CV)	0.34787652
Kurtosis	-0.31653148
Mean	10436.626
Median Absolute Deviation (MAD)	2660.5
Skewness	-0.25500371
Sum	2.5294208 × 10⁸
Variance	13181672
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
395	25	< 0.1%
1350	23	< 0.1%
2178	21	< 0.1%
994	20	< 0.1%
4307	20	< 0.1%
1299	19	< 0.1%
2832	19	< 0.1%
3874	19	< 0.1%
5051	19	< 0.1%
7123	19	< 0.1%
Other values (4285)	24032	17.7%
(Missing)	111909	82.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
395	25	< 0.1%
721	17	< 0.1%
902	18	< 0.1%
906	13	< 0.1%
909	16	< 0.1%
945	13	< 0.1%
949	17	< 0.1%
994	20	< 0.1%
1127	11	< 0.1%
1214	15	< 0.1%

Value	Count	Frequency (%)
36732	2	< 0.1%
28045	2	< 0.1%
23362	2	< 0.1%
17649	2	< 0.1%
17626	2	< 0.1%
17624	2	< 0.1%
17620	1	< 0.1%
17611	1	< 0.1%
17604	2	< 0.1%
17595	2	< 0.1%

pff_id
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3541
Distinct (%)	15.8%
Missing	113745
Missing (%)	83.5%
Infinite	0
Infinite (%)	0.0%
Mean	19377.284

Minimum	226
Maximum	143793
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	226
5-th percentile	2130
Q1	6332
median	9586.5
Q3	33007
95-th percentile	56308.9
Maximum	143793
Range	143567
Interquartile range (IQR)	26675

Descriptive statistics

Standard deviation	20415.14
Coefficient of variation (CV)	1.0535605
Kurtosis	2.1272304
Mean	19377.284
Median Absolute Deviation (MAD)	3723.5
Skewness	1.5455258
Sum	4.3405115 × 10⁸
Variance	4.1677794 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
333	26	< 0.1%
226	25	< 0.1%
585	24	< 0.1%
698	23	< 0.1%
802	21	< 0.1%
422	20	< 0.1%
2241	20	< 0.1%
2148	19	< 0.1%
1223	19	< 0.1%
3471	19	< 0.1%
Other values (3531)	22184	16.3%
(Missing)	113745	83.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
226	25	< 0.1%
237	17	< 0.1%
327	18	< 0.1%
333	26	< 0.1%
342	16	< 0.1%
367	13	< 0.1%
408	17	< 0.1%
422	20	< 0.1%
440	11	< 0.1%
498	15	< 0.1%

Value	Count	Frequency (%)
143793	2	< 0.1%
143780	4	< 0.1%
143769	4	< 0.1%
143358	4	< 0.1%
136106	2	< 0.1%
117753	4	< 0.1%
115664	5	< 0.1%
113168	3	< 0.1%
109795	5	< 0.1%
108840	5	< 0.1%

pfr_id
Text

MISSING

Distinct	3078
Distinct (%)	17.7%
Missing	118709
Missing (%)	87.2%
Memory size	1.0 MiB

Length

Max length	10
Median length	8
Mean length	8.0041294
Min length	8

Characters and Unicode

Total characters	139560
Distinct characters	65
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	101 ?
Unique (%)	0.6%

Sample

1st row	GonzTo00
2nd row	BatcCh00
3rd row	GonzTo00
4th row	MannPe00
5th row	MossRa00

Value	Count	Frequency (%)
bradto00	23	0.1%
breedr00	21	0.1%
rodgaa00	20	0.1%
leexan20	19	0.1%
lechsh20	19	0.1%
janikseb01	19	0.1%
mannpe00	18	0.1%
mccojo01	18	0.1%
lewima00	18	0.1%
johnjo05	18	0.1%
Other values (3068)	17243	98.9%

Most occurring characters

Value	Count	Frequency (%)
0	29329	21.0%
a	10615	7.6%
e	7645	5.5%
o	7236	5.2%
r	5984	4.3%
i	5250	3.8%
l	5148	3.7%
J	3991	2.9%
n	3945	2.8%
M	3042	2.2%
Other values (55)	57375	41.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	139560	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	29329	21.0%
a	10615	7.6%
e	7645	5.5%
o	7236	5.2%
r	5984	4.3%
i	5250	3.8%
l	5148	3.7%
J	3991	2.9%
n	3945	2.8%
M	3042	2.2%
Other values (55)	57375	41.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	139560	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	29329	21.0%
a	10615	7.6%
e	7645	5.5%
o	7236	5.2%
r	5984	4.3%
i	5250	3.8%
l	5148	3.7%
J	3991	2.9%
n	3945	2.8%
M	3042	2.2%
Other values (55)	57375	41.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	139560	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	29329	21.0%
a	10615	7.6%
e	7645	5.5%
o	7236	5.2%
r	5984	4.3%
i	5250	3.8%
l	5148	3.7%
J	3991	2.9%
n	3945	2.8%
M	3042	2.2%
Other values (55)	57375	41.1%

fantasy_data_id
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	3218
Distinct (%)	15.4%
Missing	115259
Missing (%)	84.7%
Infinite	0
Infinite (%)	0.0%
Mean	16031.862

Minimum	3
Maximum	22477
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	3
5-th percentile	4633
Q1	13870
median	16938.5
Q3	19872.75
95-th percentile	21881
Maximum	22477
Range	22474
Interquartile range (IQR)	6002.75

Descriptive statistics

Standard deviation	4995.3544
Coefficient of variation (CV)	0.31158915
Kurtosis	0.92495909
Mean	16031.862
Median Absolute Deviation (MAD)	2961.5
Skewness	-1.1750023
Sum	3.3484148 × 10⁸
Variance	24953566
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3258	25	< 0.1%
4314	23	< 0.1%
7242	21	< 0.1%
5714	20	< 0.1%
2593	20	< 0.1%
8920	19	< 0.1%
3253	19	< 0.1%
7606	19	< 0.1%
3100	19	< 0.1%
549	19	< 0.1%
Other values (3208)	20682	15.2%
(Missing)	115259	84.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	9	< 0.1%
204	11	< 0.1%
292	14	< 0.1%
430	17	< 0.1%
462	6	< 0.1%
547	6	< 0.1%
549	19	< 0.1%
611	17	< 0.1%
722	17	< 0.1%
732	16	< 0.1%

Value	Count	Frequency (%)
22477	4	< 0.1%
22475	3	< 0.1%
22465	1	< 0.1%
22449	5	< 0.1%
22442	5	< 0.1%
22441	3	< 0.1%
22436	3	< 0.1%
22434	5	< 0.1%
22429	5	< 0.1%
22427	3	< 0.1%

sleeper_id
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	4142
Distinct (%)	17.8%
Missing	112839
Missing (%)	82.9%
Infinite	0
Infinite (%)	0.0%
Mean	3620.5775

Minimum	4
Maximum	11533
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	4
5-th percentile	199
Q1	1201
median	3222
Q3	5844
95-th percentile	8179.75
Maximum	11533
Range	11529
Interquartile range (IQR)	4643

Descriptive statistics

Standard deviation	2723.7293
Coefficient of variation (CV)	0.75229139
Kurtosis	-0.57386484
Mean	3620.5775
Median Absolute Deviation (MAD)	2156
Skewness	0.5662666
Sum	84381179
Variance	7418701.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	25	< 0.1%
167	23	< 0.1%
289	21	< 0.1%
229	20	< 0.1%
96	20	< 0.1%
17	19	< 0.1%
412	19	< 0.1%
112	19	< 0.1%
127	19	< 0.1%
307	19	< 0.1%
Other values (4132)	23102	17.0%
(Missing)	112839	82.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	11	< 0.1%
6	14	< 0.1%
13	17	< 0.1%
16	6	< 0.1%
17	19	< 0.1%
19	17	< 0.1%
23	17	< 0.1%
24	16	< 0.1%
25	10	< 0.1%
32	9	< 0.1%

Value	Count	Frequency (%)
11533	2	< 0.1%
11528	1	< 0.1%
11514	2	< 0.1%
11512	2	< 0.1%
11510	2	< 0.1%
11505	2	< 0.1%
11489	2	< 0.1%
11487	2	< 0.1%
11483	2	< 0.1%
11479	2	< 0.1%

years_exp
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	33
Distinct (%)	0.1%
Missing	79743
Missing (%)	58.6%
Infinite	0
Infinite (%)	0.0%
Mean	3.3875572

Minimum	0
Maximum	41
Zeros	10884
Zeros (%)	8.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	10
Maximum	41
Range	41
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.2337343
Coefficient of variation (CV)	0.95459181
Kurtosis	3.3663953
Mean	3.3875572
Median Absolute Deviation (MAD)	2
Skewness	1.3750976
Sum	191065
Variance	10.457038
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	10884	8.0%
1	9066	6.7%
2	7783	5.7%
3	6528	4.8%
4	5276	3.9%
5	4284	3.1%
6	3435	2.5%
7	2641	1.9%
8	2017	1.5%
9	1473	1.1%
Other values (23)	3015	2.2%
(Missing)	79743	58.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10884	8.0%
1	9066	6.7%
2	7783	5.7%
3	6528	4.8%
4	5276	3.9%
5	4284	3.1%
6	3435	2.5%
7	2641	1.9%
8	2017	1.5%
9	1473	1.1%

Value	Count	Frequency (%)
41	1	< 0.1%
40	1	< 0.1%
39	1	< 0.1%
38	2	< 0.1%
37	1	< 0.1%
36	1	< 0.1%
29	1	< 0.1%
25	1	< 0.1%
24	2	< 0.1%
23	2	< 0.1%

headshot_url
Text

MISSING

Distinct	37359
Distinct (%)	27.9%
Missing	2124
Missing (%)	1.6%
Memory size	1.0 MiB

Length

Max length	82
Median length	82
Mean length	81.99847
Min length	80

Characters and Unicode

Total characters	10989517
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13873 ?
Unique (%)	10.4%

Sample

1st row	https://static.www.nfl.com/image/private/f_auto,q_auto/league/fdvmtlugumgyrxww1uzu
2nd row	https://static.www.nfl.com/image/private/f_auto,q_auto/league/sdjs03sggqwf0ca8qhzp
3rd row	https://static.www.nfl.com/image/private/f_auto,q_auto/league/fahqn7dy7n3kvwcrx0do
4th row	https://static.www.nfl.com/image/private/f_auto,q_auto/league/xew88uwps7tcuzhzpn99
5th row	https://static.www.nfl.com/image/private/f_auto,q_auto/league/xocsljjtywb3nkms16la

Value	Count	Frequency (%)
https://static.www.nfl.com/image/private/f_auto,q_auto/league/aofp1gfh2uwiundjxs4h	27	< 0.1%
https://static.www.nfl.com/image/private/f_auto,q_auto/league/hj3mtwjx0byr01a7463p	26	< 0.1%
https://static.www.nfl.com/image/private/f_auto,q_auto/league/vayogcgph7k6j3uhza5d	25	< 0.1%
https://static.www.nfl.com/image/private/f_auto,q_auto/league/nk87h6cjuij14iofd5ix	25	< 0.1%
https://static.www.nfl.com/image/private/f_auto,q_auto/league/npgauvcjnh8dvxadcrpy	25	< 0.1%
https://static.www.nfl.com/image/private/f_auto,q_auto/league/imfj1hl4kob4jof8hcwa	25	< 0.1%
https://static.www.nfl.com/image/private/f_auto,q_auto/league/bmbhldch291mziip7hm4	24	< 0.1%
https://static.www.nfl.com/image/private/f_auto,q_auto/league/fofzz3dwrg1vr2drmoak	23	< 0.1%
https://static.www.nfl.com/image/private/f_auto,q_auto/league/ck6so8zwqjsmxhdabvog	23	< 0.1%
https://static.www.nfl.com/image/private/f_auto,q_auto/league/ypoocygzfeucbr8sqat0	22	< 0.1%
Other values (37349)	133776	99.8%

Most occurring characters

Value	Count	Frequency (%)
t	1026169	9.3%
/	938147	8.5%
a	891570	8.1%
e	622521	5.7%
w	490228	4.5%
o	489732	4.5%
i	489029	4.4%
u	488078	4.4%
.	402063	3.7%
c	356425	3.2%
Other values (31)	4795555	43.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10989517	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	1026169	9.3%
/	938147	8.5%
a	891570	8.1%
e	622521	5.7%
w	490228	4.5%
o	489732	4.5%
i	489029	4.4%
u	488078	4.4%
.	402063	3.7%
c	356425	3.2%
Other values (31)	4795555	43.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10989517	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	1026169	9.3%
/	938147	8.5%
a	891570	8.1%
e	622521	5.7%
w	490228	4.5%
o	489732	4.5%
i	489029	4.4%
u	488078	4.4%
.	402063	3.7%
c	356425	3.2%
Other values (31)	4795555	43.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10989517	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	1026169	9.3%
/	938147	8.5%
a	891570	8.1%
e	622521	5.7%
w	490228	4.5%
o	489732	4.5%
i	489029	4.4%
u	488078	4.4%
.	402063	3.7%
c	356425	3.2%
Other values (31)	4795555	43.6%

esb_id
Text

MISSING

Distinct	17407
Distinct (%)	21.0%
Missing	53258
Missing (%)	39.1%
Memory size	1.0 MiB

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	745983
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3955 ?
Unique (%)	4.8%

Sample

1st row	LEA363377
2nd row	LEA363377
3rd row	LEA363377
4th row	SLA363377
5th row	CLA772560

Value	Count	Frequency (%)
tay220162	26	< 0.1%
and020258	25	< 0.1%
car243867	25	< 0.1%
vin196019	25	< 0.1%
jon755755	24	< 0.1%
bra371156	23	< 0.1%
and273108	23	< 0.1%
lan106026	23	< 0.1%
fea207645	22	< 0.1%
jun498348	22	< 0.1%
Other values (17397)	82649	99.7%

Most occurring characters

Value	Count	Frequency (%)
2	54926	7.4%
6	54237	7.3%
1	53968	7.2%
0	53397	7.2%
4	51977	7.0%
5	51973	7.0%
7	48522	6.5%
3	47731	6.4%
8	40845	5.5%
9	39746	5.3%
Other values (26)	248661	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	745983	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	54926	7.4%
6	54237	7.3%
1	53968	7.2%
0	53397	7.2%
4	51977	7.0%
5	51973	7.0%
7	48522	6.5%
3	47731	6.4%
8	40845	5.5%
9	39746	5.3%
Other values (26)	248661	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	745983	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	54926	7.4%
6	54237	7.3%
1	53968	7.2%
0	53397	7.2%
4	51977	7.0%
5	51973	7.0%
7	48522	6.5%
3	47731	6.4%
8	40845	5.5%
9	39746	5.3%
Other values (26)	248661	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	745983	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	54926	7.4%
6	54237	7.3%
1	53968	7.2%
0	53397	7.2%
4	51977	7.0%
5	51973	7.0%
7	48522	6.5%
3	47731	6.4%
8	40845	5.5%
9	39746	5.3%
Other values (26)	248661	33.3%

gsis_it_id
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	8556
Distinct (%)	23.8%
Missing	100174
Missing (%)	73.6%
Infinite	0
Infinite (%)	0.0%
Mean	43412.353

Minimum	9143
Maximum	57973
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	9143
5-th percentile	30857
Q1	38613
median	43374
Q3	47917
95-th percentile	55875
Maximum	57973
Range	48830
Interquartile range (IQR)	9304

Descriptive statistics

Standard deviation	7389.3379
Coefficient of variation (CV)	0.17021279
Kurtosis	-0.48969392
Mean	43412.353
Median Absolute Deviation (MAD)	4657
Skewness	-0.055419036
Sum	1.5615858 × 10⁹
Variance	54602314
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21213	25	< 0.1%
25511	23	< 0.1%
26250	21	< 0.1%
29851	20	< 0.1%
23860	20	< 0.1%
25451	19	< 0.1%
29550	19	< 0.1%
27091	19	< 0.1%
31446	19	< 0.1%
29141	19	< 0.1%
Other values (8546)	35767	26.3%
(Missing)	100174	73.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9143	5	< 0.1%
17623	1	< 0.1%
21213	25	< 0.1%
23446	18	< 0.1%
23449	18	< 0.1%
23636	17	< 0.1%
23860	20	< 0.1%
25326	19	< 0.1%
25451	19	< 0.1%
25511	23	< 0.1%

Value	Count	Frequency (%)
57973	1	< 0.1%
57962	1	< 0.1%
57935	1	< 0.1%
57932	1	< 0.1%
57931	1	< 0.1%
57930	1	< 0.1%
57929	1	< 0.1%
57928	1	< 0.1%
57927	1	< 0.1%
57926	1	< 0.1%

smart_id
Text

MISSING

Distinct	17377
Distinct (%)	21.0%
Missing	53283
Missing (%)	39.1%
Memory size	1.0 MiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	2983032
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3933 ?
Unique (%)	4.7%

Sample

1st row	32004c45-4136-3377-2de6-ed68209b7976
2nd row	32004c45-4136-3377-2de6-ed68209b7976
3rd row	32004c45-4136-3377-2de6-ed68209b7976
4th row	3200534c-4136-3377-13fe-7f321cb0819c
5th row	3200434c-4177-2560-2161-063befb14937

Value	Count	Frequency (%)
32005441-5922-0162-53b0-83184c953269	26	< 0.1%
32005649-4e19-6019-e626-0b58f9aa81e1	25	< 0.1%
32004341-5224-3867-1223-418051f03b99	25	< 0.1%
3200414e-4402-0258-af5e-f904d4733d82	25	< 0.1%
32004a4f-4e75-5755-8f93-be08855fe9b0	24	< 0.1%
32004252-4137-1156-7ed0-8b9e44948f13	23	< 0.1%
3200414e-4427-3108-1809-a396fee76085	23	< 0.1%
32004c41-4e10-6026-9cbb-d48fb01c2306	23	< 0.1%
32004645-4120-7645-e4e2-23d46bf06e49	22	< 0.1%
32004a55-4e49-8348-c78d-09386823c18a	22	< 0.1%
Other values (17367)	82624	99.7%

Most occurring characters

Value	Count	Frequency (%)
-	331448	11.1%
4	329773	11.1%
0	302056	10.1%
2	250902	8.4%
3	236376	7.9%
5	229030	7.7%
1	165586	5.6%
7	145086	4.9%
6	143612	4.8%
9	141052	4.7%
Other values (7)	708111	23.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2983032	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	331448	11.1%
4	329773	11.1%
0	302056	10.1%
2	250902	8.4%
3	236376	7.9%
5	229030	7.7%
1	165586	5.6%
7	145086	4.9%
6	143612	4.8%
9	141052	4.7%
Other values (7)	708111	23.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2983032	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	331448	11.1%
4	329773	11.1%
0	302056	10.1%
2	250902	8.4%
3	236376	7.9%
5	229030	7.7%
1	165586	5.6%
7	145086	4.9%
6	143612	4.8%
9	141052	4.7%
Other values (7)	708111	23.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2983032	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	331448	11.1%
4	329773	11.1%
0	302056	10.1%
2	250902	8.4%
3	236376	7.9%
5	229030	7.7%
1	165586	5.6%
7	145086	4.9%
6	143612	4.8%
9	141052	4.7%
Other values (7)	708111	23.7%

entry_year
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	44
Distinct (%)	0.1%
Missing	79743
Missing (%)	58.6%
Infinite	0
Infinite (%)	0.0%
Mean	2010.6869

Minimum	1972
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1972
5-th percentile	1998
Q1	2005
median	2011
Q3	2017
95-th percentile	2022
Maximum	2024
Range	52
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	7.6457434
Coefficient of variation (CV)	0.0038025529
Kurtosis	-0.67022443
Mean	2010.6869
Median Absolute Deviation (MAD)	6
Skewness	-0.33158798
Sum	1.1340676 × 10⁸
Variance	58.457392
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
2018	2940	2.2%
2017	2933	2.2%
2016	2889	2.1%
2019	2644	1.9%
2015	2464	1.8%
2013	2402	1.8%
2014	2401	1.8%
2012	2365	1.7%
2020	2198	1.6%
2010	2177	1.6%
Other values (34)	30989	22.8%
(Missing)	79743	58.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1972	1	< 0.1%
1974	6	< 0.1%
1982	8	< 0.1%
1983	2	< 0.1%
1985	17	< 0.1%
1986	7	< 0.1%
1987	26	< 0.1%
1988	27	< 0.1%
1989	21	< 0.1%
1990	53	< 0.1%

Value	Count	Frequency (%)
2024	677	0.5%
2023	1144	0.8%
2022	1624	1.2%
2021	1510	1.1%
2020	2198	1.6%
2019	2644	1.9%
2018	2940	2.2%
2017	2933	2.2%
2016	2889	2.1%
2015	2464	1.8%

rookie_year
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	45
Distinct (%)	0.1%
Missing	79755
Missing (%)	58.6%
Infinite	0
Infinite (%)	0.0%
Mean	2010.6897

Minimum	1900
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1900
5-th percentile	1998
Q1	2005
median	2012
Q3	2017
95-th percentile	2022
Maximum	2024
Range	124
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	7.661855
Coefficient of variation (CV)	0.0038105607
Kurtosis	0.085118842
Mean	2010.6897
Median Absolute Deviation (MAD)	6
Skewness	-0.38220128
Sum	1.1338279 × 10⁸
Variance	58.704022
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
2017	2961	2.2%
2018	2926	2.1%
2016	2879	2.1%
2019	2651	1.9%
2015	2463	1.8%
2014	2407	1.8%
2013	2389	1.8%
2012	2373	1.7%
2010	2171	1.6%
2011	2169	1.6%
Other values (35)	31001	22.8%
(Missing)	79755	58.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1900	1	< 0.1%
1972	1	< 0.1%
1974	6	< 0.1%
1982	8	< 0.1%
1983	2	< 0.1%
1985	17	< 0.1%
1986	7	< 0.1%
1987	26	< 0.1%
1988	27	< 0.1%
1989	21	< 0.1%

Value	Count	Frequency (%)
2024	681	0.5%
2023	1156	0.8%
2022	1644	1.2%
2021	1505	1.1%
2020	2165	1.6%
2019	2651	1.9%
2018	2926	2.1%
2017	2961	2.2%
2016	2879	2.1%
2015	2463	1.8%

draft_club
Categorical

MISSING

Distinct	43
Distinct (%)	0.1%
Missing	100288
Missing (%)	73.7%
Memory size	1.0 MiB

GB	1384
SF	1288
CIN	1261
SEA	1258
NE	1240
Other values (38)	29426

Length

Max length	3
Median length	3
Mean length	2.752991
Min length	2

Characters and Unicode

Total characters	98714
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IND
2nd row	OAK
3rd row	GB
4th row	IND
5th row	OAK

Common Values

Value	Count	Frequency (%)
GB	1384	1.0%
SF	1288	0.9%
CIN	1261	0.9%
SEA	1258	0.9%
NE	1240	0.9%
PHI	1215	0.9%
DAL	1187	0.9%
PIT	1176	0.9%
MIN	1168	0.9%
IND	1123	0.8%
Other values (33)	23557	17.3%
(Missing)	100288	73.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
gb	1384	3.9%
sf	1288	3.6%
cin	1261	3.5%
sea	1258	3.5%
ne	1240	3.5%
phi	1215	3.4%
dal	1187	3.3%
pit	1176	3.3%
min	1168	3.3%
ind	1123	3.1%
Other values (33)	23557	65.7%

Most occurring characters

Value	Count	Frequency (%)
A	10928	11.1%
N	9999	10.1%
I	8540	8.7%
T	6787	6.9%
E	6279	6.4%
L	6136	6.2%
C	5775	5.9%
S	5666	5.7%
D	5264	5.3%
B	4822	4.9%
Other values (15)	28518	28.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	98714	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	10928	11.1%
N	9999	10.1%
I	8540	8.7%
T	6787	6.9%
E	6279	6.4%
L	6136	6.2%
C	5775	5.9%
S	5666	5.7%
D	5264	5.3%
B	4822	4.9%
Other values (15)	28518	28.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	98714	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	10928	11.1%
N	9999	10.1%
I	8540	8.7%
T	6787	6.9%
E	6279	6.4%
L	6136	6.2%
C	5775	5.9%
S	5666	5.7%
D	5264	5.3%
B	4822	4.9%
Other values (15)	28518	28.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	98714	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	10928	11.1%
N	9999	10.1%
I	8540	8.7%
T	6787	6.9%
E	6279	6.4%
L	6136	6.2%
C	5775	5.9%
S	5666	5.7%
D	5264	5.3%
B	4822	4.9%
Other values (15)	28518	28.9%

ngs_position
Categorical

HIGH CORRELATION MISSING

Distinct	17
Distinct (%)	0.2%
Missing	126663
Missing (%)	93.0%
Memory size	1.0 MiB

INTERIOR_LINE	1183
EDGE	1116
WR	876
TE	746
MLB	744
Other values (12)	4817

Length

Max length	13
Median length	8
Mean length	4.2584898
Min length	1

Characters and Unicode

Total characters	40379
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	QB
2nd row	WR
3rd row	QB
4th row	QB
5th row	EDGE

Common Values

Value	Count	Frequency (%)
INTERIOR_LINE	1183	0.9%
EDGE	1116	0.8%
WR	876	0.6%
TE	746	0.5%
MLB	744	0.5%
CB	687	0.5%
RB	687	0.5%
SAFETY	638	0.5%
G	585	0.4%
T	574	0.4%
Other values (7)	1646	1.2%
(Missing)	126663	93.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
interior_line	1183	12.5%
edge	1116	11.8%
wr	876	9.2%
te	746	7.9%
mlb	744	7.8%
cb	687	7.2%
rb	687	7.2%
safety	638	6.7%
g	585	6.2%
t	574	6.1%
Other values (7)	1646	17.4%

Most occurring characters

Value	Count	Frequency (%)
E	5983	14.8%
R	4393	10.9%
T	3979	9.9%
I	3549	8.8%
B	3026	7.5%
L	2881	7.1%
N	2366	5.9%
O	2137	5.3%
_	2021	5.0%
G	1701	4.2%
Other values (10)	8343	20.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	40379	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	5983	14.8%
R	4393	10.9%
T	3979	9.9%
I	3549	8.8%
B	3026	7.5%
L	2881	7.1%
N	2366	5.9%
O	2137	5.3%
_	2021	5.0%
G	1701	4.2%
Other values (10)	8343	20.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	40379	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	5983	14.8%
R	4393	10.9%
T	3979	9.9%
I	3549	8.8%
B	3026	7.5%
L	2881	7.1%
N	2366	5.9%
O	2137	5.3%
_	2021	5.0%
G	1701	4.2%
Other values (10)	8343	20.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	40379	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	5983	14.8%
R	4393	10.9%
T	3979	9.9%
I	3549	8.8%
B	3026	7.5%
L	2881	7.1%
N	2366	5.9%
O	2137	5.3%
_	2021	5.0%
G	1701	4.2%
Other values (10)	8343	20.7%

week
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	22
Distinct (%)	< 0.1%
Missing	79239
Missing (%)	58.2%
Infinite	0
Infinite (%)	0.0%
Mean	15.74131

Minimum	1
Maximum	22
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	17
median	17
Q3	18
95-th percentile	21
Maximum	22
Range	21
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	5.4074391
Coefficient of variation (CV)	0.343519
Kurtosis	2.4649262
Mean	15.74131
Median Absolute Deviation (MAD)	1
Skewness	-1.9238313
Sum	895775
Variance	29.240398
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
17	23742	17.4%
18	9509	7.0%
19	6339	4.7%
1	4696	3.4%
20	3408	2.5%
21	2900	2.1%
22	500	0.4%
15	478	0.4%
16	476	0.3%
14	467	0.3%
Other values (12)	4391	3.2%
(Missing)	79239	58.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4696	3.4%
2	381	0.3%
3	275	0.2%
4	288	0.2%
5	345	0.3%
6	345	0.3%
7	384	0.3%
8	350	0.3%
9	364	0.3%
10	382	0.3%

Value	Count	Frequency (%)
22	500	0.4%
21	2900	2.1%
20	3408	2.5%
19	6339	4.7%
18	9509	7.0%
17	23742	17.4%
16	476	0.3%
15	478	0.4%
14	467	0.3%
13	431	0.3%

game_type
Categorical

HIGH CORRELATION MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	79239
Missing (%)	58.2%
Memory size	1.0 MiB

REG	38755
WC	6486
DIV	5828
CON	2932
SB	2905

Length

Max length	3
Median length	3
Mean length	2.8349735
Min length	2

Characters and Unicode

Total characters	161327
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	REG
2nd row	DIV
3rd row	CON
4th row	REG
5th row	SB

Common Values

Value	Count	Frequency (%)
REG	38755	28.5%
WC	6486	4.8%
DIV	5828	4.3%
CON	2932	2.2%
SB	2905	2.1%
(Missing)	79239	58.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
reg	38755	68.1%
wc	6486	11.4%
div	5828	10.2%
con	2932	5.2%
sb	2905	5.1%

Most occurring characters

Value	Count	Frequency (%)
R	38755	24.0%
E	38755	24.0%
G	38755	24.0%
C	9418	5.8%
W	6486	4.0%
D	5828	3.6%
I	5828	3.6%
V	5828	3.6%
O	2932	1.8%
N	2932	1.8%
Other values (2)	5810	3.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	161327	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
R	38755	24.0%
E	38755	24.0%
G	38755	24.0%
C	9418	5.8%
W	6486	4.0%
D	5828	3.6%
I	5828	3.6%
V	5828	3.6%
O	2932	1.8%
N	2932	1.8%
Other values (2)	5810	3.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	161327	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
R	38755	24.0%
E	38755	24.0%
G	38755	24.0%
C	9418	5.8%
W	6486	4.0%
D	5828	3.6%
I	5828	3.6%
V	5828	3.6%
O	2932	1.8%
N	2932	1.8%
Other values (2)	5810	3.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	161327	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
R	38755	24.0%
E	38755	24.0%
G	38755	24.0%
C	9418	5.8%
W	6486	4.0%
D	5828	3.6%
I	5828	3.6%
V	5828	3.6%
O	2932	1.8%
N	2932	1.8%
Other values (2)	5810	3.6%

status_description_abbr
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	44
Distinct (%)	0.1%
Missing	85392
Missing (%)	62.7%
Memory size	1.0 MiB

A01	40368
I01	5299
P01	1345
R01	1282
W03	654
Other values (39)	1805

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	152259
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	A01
2nd row	A01
3rd row	A01
4th row	A01
5th row	A01

Common Values

Value	Count	Frequency (%)
A01	40368	29.7%
I01	5299	3.9%
P01	1345	1.0%
R01	1282	0.9%
W03	654	0.5%
P07	451	0.3%
I02	270	0.2%
P06	225	0.2%
P02	112	0.1%
R02	95	0.1%
Other values (34)	652	0.5%
(Missing)	85392	62.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a01	40368	79.5%
i01	5299	10.4%
p01	1345	2.7%
r01	1282	2.5%
w03	654	1.3%
p07	451	0.9%
i02	270	0.5%
p06	225	0.4%
p02	112	0.2%
r02	95	0.2%
Other values (34)	652	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	50360	33.1%
1	48445	31.8%
A	40368	26.5%
I	5573	3.7%
P	2303	1.5%
R	1817	1.2%
3	781	0.5%
2	663	0.4%
W	655	0.4%
7	471	0.3%
Other values (7)	823	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	152259	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	50360	33.1%
1	48445	31.8%
A	40368	26.5%
I	5573	3.7%
P	2303	1.5%
R	1817	1.2%
3	781	0.5%
2	663	0.4%
W	655	0.4%
7	471	0.3%
Other values (7)	823	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	152259	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	50360	33.1%
1	48445	31.8%
A	40368	26.5%
I	5573	3.7%
P	2303	1.5%
R	1817	1.2%
3	781	0.5%
2	663	0.4%
W	655	0.4%
7	471	0.3%
Other values (7)	823	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	152259	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	50360	33.1%
1	48445	31.8%
A	40368	26.5%
I	5573	3.7%
P	2303	1.5%
R	1817	1.2%
3	781	0.5%
2	663	0.4%
W	655	0.4%
7	471	0.3%
Other values (7)	823	0.5%

football_name
Text

MISSING

Distinct	3677
Distinct (%)	6.5%
Missing	79259
Missing (%)	58.2%
Memory size	1.0 MiB

Length

Max length	14
Median length	12
Mean length	5.4086243
Min length	2

Characters and Unicode

Total characters	307675
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	732 ?
Unique (%)	1.3%

Sample

1st row	Rabih
2nd row	Donnie
3rd row	Tom
4th row	Flozell
5th row	Sam

Value	Count	Frequency (%)
chris	1003	1.8%
mike	771	1.4%
brandon	678	1.2%
matt	670	1.2%
josh	661	1.2%
michael	612	1.1%
ryan	598	1.0%
david	554	1.0%
john	520	0.9%
jason	511	0.9%
Other values (3608)	50398	88.5%

Most occurring characters

Value	Count	Frequency (%)
a	31229	10.1%
e	30347	9.9%
n	26881	8.7%
r	23495	7.6%
i	19470	6.3%
o	17989	5.8%
l	12740	4.1%
t	10509	3.4%
s	10102	3.3%
h	9710	3.2%
Other values (47)	115203	37.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	307675	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	31229	10.1%
e	30347	9.9%
n	26881	8.7%
r	23495	7.6%
i	19470	6.3%
o	17989	5.8%
l	12740	4.1%
t	10509	3.4%
s	10102	3.3%
h	9710	3.2%
Other values (47)	115203	37.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	307675	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	31229	10.1%
e	30347	9.9%
n	26881	8.7%
r	23495	7.6%
i	19470	6.3%
o	17989	5.8%
l	12740	4.1%
t	10509	3.4%
s	10102	3.3%
h	9710	3.2%
Other values (47)	115203	37.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	307675	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	31229	10.1%
e	30347	9.9%
n	26881	8.7%
r	23495	7.6%
i	19470	6.3%
o	17989	5.8%
l	12740	4.1%
t	10509	3.4%
s	10102	3.3%
h	9710	3.2%
Other values (47)	115203	37.4%

draft_number
Real number (ℝ)

MISSING

Distinct	269
Distinct (%)	0.8%
Missing	102533
Missing (%)	75.3%
Infinite	0
Infinite (%)	0.0%
Mean	106.86148

Minimum	1
Maximum	329
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 MiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	43
median	97
Q3	165
95-th percentile	235
Maximum	329
Range	328
Interquartile range (IQR)	122

Descriptive statistics

Standard deviation	72.572423
Coefficient of variation (CV)	0.67912614
Kurtosis	-1.0198764
Mean	106.86148
Median Absolute Deviation (MAD)	59
Skewness	0.3505826
Sum	3591828
Variance	5266.7566
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	253	0.2%
7	241	0.2%
13	231	0.2%
6	227	0.2%
4	225	0.2%
3	219	0.2%
9	217	0.2%
12	217	0.2%
27	216	0.2%
8	215	0.2%
Other values (259)	31351	23.0%
(Missing)	102533	75.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	253	0.2%
2	206	0.2%
3	219	0.2%
4	225	0.2%
5	215	0.2%
6	227	0.2%
7	241	0.2%
8	215	0.2%
9	217	0.2%
10	214	0.2%

Value	Count	Frequency (%)
329	8	< 0.1%
326	6	< 0.1%
320	1	< 0.1%
310	1	< 0.1%
291	5	< 0.1%
285	4	< 0.1%
276	1	< 0.1%
262	4	< 0.1%
261	5	< 0.1%
260	6	< 0.1%

Auto

Heatmap
Table

	depth_chart_position	draft_club	draft_number	entry_year	espn_id	fantasy_data_id	game_type	gsis_it_id	height	jersey_number	ngs_position	pff_id	position	rookie_year	rotowire_id	season	sleeper_id	status	status_description_abbr	week	weight	yahoo_id	years_exp
depth_chart_position	1.000	0.066	0.116	0.132	0.095	0.126	0.013	0.121	0.279	0.431	0.732	0.086	0.935	0.154	0.125	0.305	0.102	0.062	0.027	0.045	0.196	0.000	0.119
draft_club	0.066	1.000	0.071	0.164	0.161	0.187	0.149	0.167	0.086	0.060	0.059	0.124	0.081	0.180	0.159	0.250	0.145	0.031	0.033	0.103	0.068	0.107	0.061
draft_number	0.116	0.071	1.000	0.117	0.188	0.224	0.021	0.250	-0.069	0.002	0.111	0.232	0.093	0.117	0.235	0.046	0.238	0.045	0.049	-0.037	-0.034	0.248	-0.187
entry_year	0.132	0.164	0.117	1.000	0.979	0.991	0.036	0.997	0.025	-0.059	0.096	0.977	0.230	1.000	0.996	0.914	0.991	0.129	0.172	0.038	-0.052	0.994	-0.443
espn_id	0.095	0.161	0.188	0.979	1.000	0.964	0.021	0.970	-0.005	0.049	0.064	0.964	0.176	0.979	0.974	0.760	0.965	0.113	0.158	0.073	-0.040	0.968	-0.379
fantasy_data_id	0.126	0.187	0.224	0.991	0.964	1.000	0.019	0.993	-0.017	0.057	0.101	0.972	0.193	0.991	0.990	0.707	0.995	0.102	0.133	0.071	-0.042	0.990	-0.373
game_type	0.013	0.149	0.021	0.036	0.021	0.019	1.000	0.055	0.005	0.000	0.000	0.014	0.009	0.021	0.032	0.020	0.035	0.073	0.065	0.605	0.000	0.000	0.020
gsis_it_id	0.121	0.167	0.250	0.997	0.970	0.993	0.055	1.000	-0.004	-0.013	0.090	0.972	0.210	0.997	0.995	0.797	0.995	0.113	0.171	-0.045	-0.075	0.999	-0.506
height	0.279	0.086	-0.069	0.025	-0.005	-0.017	0.005	-0.004	1.000	0.221	0.385	0.001	0.260	0.025	0.005	0.131	-0.013	0.026	0.034	0.011	0.742	-0.025	0.034
jersey_number	0.431	0.060	0.002	-0.059	0.049	0.057	0.000	-0.013	0.221	1.000	0.616	0.073	0.512	-0.059	0.055	0.778	0.038	0.116	0.074	-0.002	0.415	0.034	0.005
ngs_position	0.732	0.059	0.111	0.096	0.064	0.101	0.000	0.090	0.385	0.616	1.000	0.057	0.765	0.118	0.153	1.000	0.068	1.000	0.000	0.000	0.161	0.000	0.108
pff_id	0.086	0.124	0.232	0.977	0.964	0.972	0.014	0.972	0.001	0.073	0.057	1.000	0.108	0.977	0.975	0.745	0.967	0.102	0.157	0.084	-0.029	0.972	-0.373
position	0.935	0.081	0.093	0.230	0.176	0.193	0.009	0.210	0.260	0.512	0.765	0.108	1.000	0.289	0.182	0.251	0.157	0.037	0.095	0.099	0.155	0.060	0.090
rookie_year	0.154	0.180	0.117	1.000	0.979	0.991	0.021	0.997	0.025	-0.059	0.118	0.977	0.289	1.000	0.996	0.914	0.991	0.157	0.168	0.038	-0.052	0.994	-0.442
rotowire_id	0.125	0.159	0.235	0.996	0.974	0.990	0.032	0.995	0.005	0.055	0.153	0.975	0.182	0.996	1.000	0.788	0.990	0.108	0.144	0.048	-0.041	0.992	-0.429
season	0.305	0.250	0.046	0.914	0.760	0.707	0.020	0.797	0.131	0.778	1.000	0.745	0.251	0.914	0.788	1.000	0.760	0.167	0.270	0.044	0.267	0.745	-0.076
sleeper_id	0.102	0.145	0.238	0.991	0.965	0.995	0.035	0.995	-0.013	0.038	0.068	0.967	0.157	0.991	0.990	0.760	1.000	0.102	0.141	0.041	-0.056	0.991	-0.441
status	0.062	0.031	0.045	0.129	0.113	0.102	0.073	0.113	0.026	0.116	1.000	0.102	0.037	0.157	0.108	0.167	0.102	1.000	0.545	0.175	0.030	0.000	0.057
status_description_abbr	0.027	0.033	0.049	0.172	0.158	0.133	0.065	0.171	0.034	0.074	0.000	0.157	0.095	0.168	0.144	0.270	0.141	0.545	1.000	0.155	0.044	0.000	0.055
week	0.045	0.103	-0.037	0.038	0.073	0.071	0.605	-0.045	0.011	-0.002	0.000	0.084	0.099	0.038	0.048	0.044	0.041	0.175	0.155	1.000	0.017	0.014	0.028
weight	0.196	0.068	-0.034	-0.052	-0.040	-0.042	0.000	-0.075	0.742	0.415	0.161	-0.029	0.155	-0.052	-0.041	0.267	-0.056	0.030	0.044	0.017	1.000	-0.063	0.065
yahoo_id	0.000	0.107	0.248	0.994	0.968	0.990	0.000	0.999	-0.025	0.034	0.000	0.972	0.060	0.994	0.992	0.745	0.991	0.000	0.000	0.014	-0.063	1.000	-0.421
years_exp	0.119	0.061	-0.187	-0.443	-0.379	-0.373	0.020	-0.506	0.034	0.005	0.108	-0.373	0.090	-0.442	-0.429	-0.076	-0.441	0.057	0.055	0.028	0.065	-0.421	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	season	team	position	depth_chart_position	status	full_name	first_name	last_name	birth_date	height	weight	college	gsis_id	espn_id	sportradar_id	yahoo_id	rotowire_id	pff_id	pfr_id	fantasy_data_id	sleeper_id	years_exp	headshot_url	esb_id	gsis_it_id	smart_id	entry_year	rookie_year	draft_club	ngs_position	week	game_type	status_description_abbr	football_name	draft_number
0	1920	AKR	DL	E	ACT	Scotty Bierce	Bruce	Bierce	1896-09-03	69.0	164.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/fdvmtlugumgyrxww1uzu	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	1920	AKR	DL	E	ACT	Budge Garrett	Alfred	Garrett	1893-04-17	69.0	200.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/sdjs03sggqwf0ca8qhzp	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	1920	AKR	DL	E	ACT	George Johnson	George	Johnson	1895-07-22	73.0	205.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/fahqn7dy7n3kvwcrx0do	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	1920	AKR	DL	DG	ACT	Al Nesser	Alfred	Nesser	1893-06-06	72.0	195.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/xew88uwps7tcuzhzpn99	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	1920	AKR	DL	DG	ACT	Tommy Tomlin	John	Tomlin	1893-09-25	70.0	197.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/xocsljjtywb3nkms16la	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	1920	AKR	OL	C	ACT	Russ Bailey	Russell	Bailey	1897-10-17	71.0	183.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/klfi59kqrwjaaim0ygnc	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	1920	AKR	OL	G	ACT	George Brown	George	Brown	1894-08-13	NaN	190.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/bxvgxb33viw7hyirla7w	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	1920	AKR	OL	G	ACT	Alf Cobb	Alfred	Cobb	1893-06-07	71.0	210.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/bigbgkzk5ifmfkhiqpe3	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	1920	AKR	OL	OT	ACT	Pike Johnson	Karl	Johnson	1896-05-02	71.0	185.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/lmqp5iktjgudp9bd4ksf	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	1920	AKR	OL	G	ACT	Frank Moran	Frank	Moran	1891-10-17	76.0	285.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	https://static.www.nfl.com/image/private/f_auto,q_auto/league/dhndsd8zkns7ifotqw8l	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

	season	team	position	depth_chart_position	jersey_number	status	full_name	first_name	last_name	birth_date	height	weight	college	gsis_id	espn_id	sportradar_id	yahoo_id	rotowire_id	pff_id	pfr_id	fantasy_data_id	sleeper_id	headshot_url	esb_id	gsis_it_id	smart_id	entry_year	rookie_year	draft_club	ngs_position	week	game_type	status_description_abbr	football_name	draft_number
136135	2024	MIA	LB	LB	50.0	RES	Mohamed Kamara	Mohamed	Kamara	NaN	NaN	250.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57279.0	NaN	2024.0	2024.0	MIA	NaN	1.0	REG	R09	Mohamed	158.0
136136	2024	CHI	WR	WR	15.0	RES	Rome Odunze	Rome	Odunze	NaN	NaN	215.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57130.0	NaN	2024.0	2024.0	CHI	NaN	1.0	REG	R09	Rome	9.0
136137	2024	BUF	DB	DB	25.0	RES	Daequan Hardy	Daequan	Hardy	NaN	NaN	178.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57339.0	NaN	2024.0	2024.0	BUF	NaN	1.0	REG	R09	Daequan	219.0
136138	2024	CIN	DL	DT	90.0	RES	Kris Jenkins	Kris	Jenkins	NaN	NaN	305.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57170.0	NaN	2024.0	2024.0	CIN	NaN	1.0	REG	R09	Kris	49.0
136139	2024	JAX	DL	DT	94.0	RES	Maason Smith	Maason	Smith	NaN	NaN	315.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57169.0	NaN	2024.0	2024.0	JAX	NaN	1.0	REG	R09	Maason	48.0
136140	2024	DET	DB	DB	NaN	RES	Terrion Arnold	Terrion	Arnold	NaN	NaN	196.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57145.0	NaN	2024.0	2024.0	DET	NaN	1.0	REG	R09	Terrion	24.0
136141	2024	PIT	OL	T	76.0	RES	Troy Fautanu	Troy	Fautanu	NaN	NaN	317.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57141.0	NaN	2024.0	2024.0	PIT	NaN	1.0	REG	R09	Troy	20.0
136142	2024	GB	OL	T	77.0	RES	Jordan Morgan	Jordan	Morgan	NaN	NaN	320.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57146.0	NaN	2024.0	2024.0	GB	NaN	1.0	REG	R09	Jordan	25.0
136143	2024	NE	LB	LB	NaN	E14	Jotham Russell	Jotham	Russell	NaN	NaN	235.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57850.0	NaN	2024.0	2024.0	NaN	NaN	1.0	REG	E14	Jotham	NaN
136144	2024	KC	WR	WR	1.0	RES	Xavier Worthy	Xavier	Worthy	NaN	NaN	172.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	57149.0	NaN	2024.0	2024.0	KC	NaN	1.0	REG	R09	Xavier	28.0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories